manage_aws_glue_usage_profiles
AI agents call manage_aws_glue_usage_profiles as a supporting operation in Awslabs Valkey workflows.
With no description available, it's unclear what this tool does. The name suggests management of AWS Glue usage profiles, which could span Read, Write, or Execute. 'Manage' typically implies Write-level operations (create/update), but could include destructive actions. Given the ambiguity, confidence is low and category defaults to Other, with medium severity due to potential IAM/resource configuration impact.
From the tool's definition Tool description is empty and uninformative; tool name 'manage_aws_glue_usage_profiles' suggests managing AWS Glue usage profiles but no details are provided.
Attacks that exploit this kind of access
manage_aws_glue_usage_profiles. It is categorised as a Other tool in the Awslabs Valkey MCP Server, which means it performs auxiliary operations.
Register the Awslabs Valkey MCP server in PolicyLayer and add a rule for manage_aws_glue_usage_profiles: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Awslabs Valkey. Nothing to install.
manage_aws_glue_usage_profiles is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the manage_aws_glue_usage_profiles rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for manage_aws_glue_usage_profiles. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
manage_aws_glue_usage_profiles is provided by the Awslabs Valkey MCP server (awslabs.valkey-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.